Approximated Uncertainty Propagation of Correlated Independent Variables Using the Ordinary Least Squares Estimator

For chemical measurements, calibration is typically conducted by regression analysis. In many cases, generalized approaches are required to account for a complex-structured variance–covariance matrix of (in)dependent variables. However, in the particular case of highly correlated independent variabl...

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Vydané v:	Molecules (Basel, Switzerland) Ročník 29; číslo 6; s. 1248
Hlavní autori:	Lim, Jeong Sik, Kim, Yong Doo, Woo, Jin-Chun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 11.03.2024 MDPI
Predmet:	Calibration correlated independent variables Independent variables Monte Carlo simulation ordinary least squares Polynomials Propagation Regression analysis Software uncertainty evaluation Germany uncertainty evaluation ordinary least squares calibration Monte Carlo simulation correlated independent variables
ISSN:	1420-3049, 1420-3049
On-line prístup:	Získať plný text
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